{"as_of":"2026-08-06T18:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3bd6e78d650db61d75a6008ef0adab98c6aac86ea6886c05315ef1ae4abe7142","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T17:57:06.275262Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T05:46:12.822865Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2107.00848","last_updated":"2021-07-02T05:44:56Z","snapshot_observed_at":"2026-08-05T04:17:43.051989Z","submitted_at":"2021-07-02T05:44:56Z","title":"Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2107.00848","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.00848","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Systematic evaluation of causal discovery in visual model based reinforcement learning","venue":null,"work_id":"9d59f729-9239-4c0f-8aee-7912babf95df","year":2021},"citing_paper":{"arxiv_id":"2604.07712","last_updated":"2026-04-09T01:56:06Z","snapshot_observed_at":"2026-07-31T11:49:03.727798Z","submitted_at":"2026-04-09T01:56:06Z","title":"CausalVAE as a Plug-in for World Models: Towards Reliable Counterfactual Dynamics","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T17:57:06.275262Z"},"links":{"cited_paper":"/paper/2107.00848","citing_paper":"/paper/2604.07712"},"observation_digest":"sha256:2ec3b05c02bdcb277bcf55751bc13bcd40793e991403c3a729b21aa4a156e7c9","observation_id":"0e694c79-c928-4956-89a6-cbd45e0c2fa1","resolution":{"observed_at":"2026-05-11T05:46:12.825727Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2107.00848/citation-record","integrity":"/paper/2107.00848/integrity","json":"/paper/2107.00848/citation-record.json","paper":"/paper/2107.00848"},"outbound":[],"paper":{"arxiv_id":"2107.00848","last_updated":"2021-07-02T05:44:56Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-05T04:17:43.051989Z","submitted_at":"2021-07-02T05:44:56Z","title":"Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2107.00848."}